2016 Fiscal Year Final Research Report
Verbalization of data analysis or future prediction
Project/Area Number |
26540190
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Entertainment and game informatics 1
|
Research Institution | Kyoto University |
Principal Investigator |
Mori Shinsuke 京都大学, 学術情報メディアセンター, 教授 (90456773)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Keywords | ゲーム / 言語生成 / 情報検索 / 自動解説 / シンボルグラウンディング |
Outline of Final Research Achievements |
We have proposed and realized a method for generating commentaries for a given game state and possible future states. We have built a game corpus through this research and presented it in LREC 2016. With this corpus we have developed a method for searching game states by natural language keywords and made a presentation in the top conference of information retreivel, ACM SIG IR. We have also shonw that real world information improves the accuracy of a named entity recognizer. We made a presentation on this research result in one of the top conferences of natural language processing, ACL 2016.
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Free Research Field |
自然言語処理
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